IDEAS home Printed from https://ideas.repec.org/p/zbw/kitiip/8.html
   My bibliography  Save this paper

On the road to an electric mobility mass market - How can early adopters be characterized?

Author

Listed:
  • Ensslen, Axel
  • Paetz, Alexandra-Gwyn
  • Babrowski, Sonja
  • Jochem, Patrick
  • Fichtner, Wolf

Abstract

Different field trials and corresponding acceptance studies with new technologies have been carried out between 2010 and 2013 at the Chair of Energy Economics at the Karlsruhe Institute of Technology (KIT). Those involved Elec-tric Vehicle (EV) users, Liquefied Petroleum Gas (LPG) and Compressed Natural Gas (CNG) vehicle users as well as persons with strong interest in EV and smart home technologies. In order to characterize early adopters the same item-sets con-cerning attitudes regarding climate change, prices and innovations as well as cor-responding socio-demographic characteristics, were used throughout all these studies and have been joined now and analyzed together. Additionally, regression methods have been applied in order to characterize early EV adopters based on a subsample of EV company car users in the French-German context. A binary logit model explaining private EV purchase intention has been developed. According to this model, early private EV adopters are likely to have a higher level of income, to have a household equipped with two or more cars and to travel more than 50 kilometers a day, not necessarily by car. This model additionally shows that possi-bilities to experience EV (e.g. by test drives) are important leverages to support adoption of EV by private car buyers. Respondents who already decided to pri-vately purchase an EV show significantly lower general price sensitivities than the LPG and CNG vehicle users.

Suggested Citation

  • Ensslen, Axel & Paetz, Alexandra-Gwyn & Babrowski, Sonja & Jochem, Patrick & Fichtner, Wolf, 2015. "On the road to an electric mobility mass market - How can early adopters be characterized?," Working Paper Series in Production and Energy 8, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  • Handle: RePEc:zbw:kitiip:8
    DOI: 10.5445/IR/1000047349
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/176734/1/kit-iip-wp-08.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.5445/IR/1000047349?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lopes, Mafalda Mendes & Moura, Filipe & Martinez, Luis M., 2014. "A rule-based approach for determining the plausible universe of electric vehicle buyers in the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 22-36.
    2. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    3. Hackbarth, André & Madlener, Reinhard, 2011. "Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis," FCN Working Papers 20/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Jochem, Patrick & Kaschub, Thomas & Fichtner, Wolf, 2013. "How to integrate electric vehicles in the future energy system?," Working Paper Series in Production and Energy 3, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    5. Frank M. Bass, 2004. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 50(12_supple), pages 1825-1832, December.
    6. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sovacool, Benjamin K. & Kester, Johannes & Noel, Lance & de Rubens, Gerardo Zarazua, 2019. "Energy Injustice and Nordic Electric Mobility: Inequality, Elitism, and Externalities in the Electrification of Vehicle-to-Grid (V2G) Transport," Ecological Economics, Elsevier, vol. 157(C), pages 205-217.
    2. Chen, Chien-fei & Zarazua de Rubens, Gerardo & Noel, Lance & Kester, Johannes & Sovacool, Benjamin K., 2020. "Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    3. Sovacool, Benjamin K. & Kester, Johannes & Noel, Lance & de Rubens, Gerardo Zarazua, 2019. "Income, political affiliation, urbanism and geography in stated preferences for electric vehicles (EVs) and vehicle-to-grid (V2G) technologies in Northern Europe," Journal of Transport Geography, Elsevier, vol. 78(C), pages 214-229.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhongya Han & Dongyuan Zhao & Fengxia Sun & Huike Zhu, 2025. "A study on the diffusion model of new energy passenger vehicles with consideration of product value," PLOS ONE, Public Library of Science, vol. 20(5), pages 1-25, May.
    2. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    3. Wang, Zhuowei & Yu, Jiangbo (Gabe) & Chen, Anthony & Fu, Xiaowen, 2024. "Subsidy policies towards zero-emission bus fleets: A systematic technical-economic analysis," Transport Policy, Elsevier, vol. 150(C), pages 1-13.
    4. Bernd Frick & Franziska Prockl, 2018. "Information Precision In Online Communities: Player Valuations On Www.Transfermarkt.De," Working Papers Dissertations 37, Paderborn University, Faculty of Business Administration and Economics.
    5. Davide Crapis & Bar Ifrach & Costis Maglaras & Marco Scarsini, 2017. "Monopoly Pricing in the Presence of Social Learning," Management Science, INFORMS, vol. 63(11), pages 3586-3608, November.
    6. Najmeh Madadi & Azanizawati Ma’aram & Kuan Yew Wong, 2017. "A simulation-based product diffusion forecasting method using geometric Brownian motion and spline interpolation," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1300992-130, January.
    7. Mike W. Peng, 2019. "Global competition and diffusion of the “A” list," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-23, December.
    8. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    9. Stefan N. Groesser & Niklas Jovy, 2016. "Business model analysis using computational modeling: a strategy tool for exploration and decision-making," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 61-88, February.
    10. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    11. Lixin Zhou & Jie Lin & Yanfeng Li & Zhenyu Zhang, 2020. "Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    12. Amini, Mehdi & Li, Haitao, 2011. "Supply chain configuration for diffusion of new products: An integrated optimization approach," Omega, Elsevier, vol. 39(3), pages 313-322, June.
    13. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco & Rotaris, Lucia, 2019. "A meta-analysis of the importance of the driving range in consumers’ preference studies for battery electric vehicles," Working Papers 19_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    14. Garcia Fronti, Javier, 2015. "Modelo estocástico para la valuación de una inversión nanomédica [Nanomedical Stochastic Investment Valuation]," MPRA Paper 63948, University Library of Munich, Germany.
    15. Makena Coffman & Scott Allen & Sherilyn Wee, 2018. "Who are Driving Electric Vehicles? An analysis of factors that affect EV adoption in Hawaii," Working Papers 2018-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    16. Massiani, Jérôme, 2015. "Cost-Benefit Analysis of policies for the development of electric vehicles in Germany: Methods and results," Transport Policy, Elsevier, vol. 38(C), pages 19-26.
    17. Yang Liu and Taoyuan Wei, 2016. "Market and Non-market Policies for Renewable Energy Diffusion: A Unifying Framework and Empirical Evidence from Chinas Wind Power Sector," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    18. Massiani, Jérôme & Gohs, Andreas, 2015. "The choice of Bass model coefficients to forecast diffusion for innovative products: An empirical investigation for new automotive technologies," Research in Transportation Economics, Elsevier, vol. 50(C), pages 17-28.
    19. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
    20. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:kitiip:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.iip.kit.edu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.